Section: Application Domains
Linked Bibliographic Collections
The second example concerns scientists who want to quickly inspect relevant literature and datasets. In such a case, local knowledge that comes from a local repository of publications belonging to a research institute (e.g. HAL) need to be integrated with other Web-based repositories, such as DBLP, Google Scholar, ResearchGate and even Wikipedia. Indeed, the local repository may be in complete or contain semantic ambiguities,such as mistaken or missing conference venues,mistaken long names for the publication venues and journals, missing explanation of research keywords, and opaque keywords.A linked data collection would lead to build both implicit and explicit links by(i)cleaning the errors with links to correct data e.g. via mappings from HAL to DBLP for the publications errors, and via mappings from HAL to Wikipedia for opaquekeywords, (ii) thoroughly complete the list of publications of the research institute, and (iii) support complex queries on the corrected data combined with external links. Links are thus useful in all scenarios, in which massive data need to be understood, analyzed and processed. Finally, they can be processed in highly distributed scenarios, such as in the cloud, where their evaluation can be run on many different sites.